I have some data which I would like to show in a Plot. My Problem is, that while there seems to be a tone of libs for generating a website with all sorts of plots, I just want to generate an Image and save it as a file. My question would be if you guys know any options for doing so?
(I don't care if I would get an SVG or a .png)
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I am Working on a small Image comparing script where the reference images are generated as SVGs and the compare images are PNGs.
I can transform the SVG files to PNG (using svglib and renderpm) but can´t specify the size I want them to be generated as(renderscale seems to cut of a part of the picture), but I need to get them to the same size for the compare functions and resizing the pngs nullifyes the whole purpose of vector graphics in itself. Any Ideas?
Regards a python noob
I found this library might be perfect for me as I want to plot a dot onto an image so is it possible to accomplish it using mpandroidchart?
I have recently been playing around with a web app that allows the user to draw paths on an SVG using touch or a stylus (the idea is to make a simple note taking web app).
Now I would like to add the ability to convert SVG Paths to text. So my question is: How do I convert the coordinates of the SVG Path to text?
I'm just at a loss of how you would call such a process (and hours of googling something with no idea what to call it has not yielded results). And when I search for something remotely linked to text recognition I can only find things about OCR.
I'm not looking for OCR, because that requires bitmap images. I'm looking for a way to convert SVG Paths or points/vectors to text.
Can anybody point me in the right direction of what this is called so I can read more about the topic and dont need to re-invent the wheel?
Thanks in advance.
I am trying to isolate shadows from this image and remove them:
The reason why I am doing that is because shadow is problematic for my edge detection algorithm.
What should I do to remove the shadow? I haven't done this before, so I do not even know where to start from.
From the similar questions on SO I wasn't able to find anything to help me with my task.
I have the image in both: png and jpg format, so I am not even sure which format to use to start with.
That's a very interesting question. One option you can try is to divide the RGB values in the image by the grayscale intensity of the image. There is apparently another method explained here: https://onlinelibrary.wiley.com/doi/full/10.1002/col.21889.
I'm trying to build PDF-documents on the server-side in a Django-Installation using reportlab. These documents should contain several graphs which are to be created with matplotlib.
I already figured out how to make reportlab use matplotlib's images without dumping them to the filesystem temporarily by passing PIL-Image objects directly to the Image()-flowable. This works surprisingly well for rasterized images formats like PNG.
Now, the icing on the cake would be able to embed vector based graphics (like SVG).
I used svglib to convert SVGs generated by matplotlib to reportlab graphic objects but unfortunately svglib does omit the tickmarks and axis labels. On some graphs it fails in general.
Do you have any ideas?
This page has a solution that I haven't had a chance to test myself yet: https://web.archive.org/web/20120725125858/http://lateral.netmanagers.com.ar/weblog/posts/BB753.html
You can generate matplotlib graphics as pdf and use pdfrw to embed it in reportlab canvas as described in this answer